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2,236

User Researcher jobs in United Kingdom

Data Scientist

JR United Kingdom

Hemel Hempstead
On-site
GBP 40,000 - 70,000
30+ days ago
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Lead Clinical Research Associate

JR United Kingdom

Cardiff
On-site
GBP 40,000 - 50,000
30+ days ago

Data Scientist

JR United Kingdom

Preston
On-site
GBP 40,000 - 60,000
30+ days ago

Lead Clinical Research Associate

JR United Kingdom

Warrington
Remote
GBP 60,000 - 80,000
30+ days ago

Data Scientist

JR United Kingdom

Sheffield
On-site
GBP 59,000 - 70,000
30+ days ago
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Lead Clinical Research Associate

JR United Kingdom

Norwich
On-site
GBP 60,000 - 80,000
30+ days ago

Data Scientist

JR United Kingdom

Liverpool
On-site
GBP 40,000 - 60,000
30+ days ago

Data Scientist

JR United Kingdom

Bolton
On-site
GBP 60,000 - 70,000
30+ days ago
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Data Scientist

JR United Kingdom

Nottingham
On-site
GBP 45,000 - 65,000
30+ days ago

Lead Clinical Research Associate

JR United Kingdom

Belfast
On-site
GBP 40,000 - 60,000
30+ days ago

Senior Clinical Research Associate

JR United Kingdom

High Wycombe
On-site
GBP 45,000 - 60,000
30+ days ago

Lead Clinical Research Associate

JR United Kingdom

Bradford
On-site
GBP 50,000 - 70,000
30+ days ago

Lead Clinical Research Associate

JR United Kingdom

Bath
On-site
GBP 80,000 - 100,000
30+ days ago

Senior Clinical Research Associate

JR United Kingdom

Milton Keynes
On-site
GBP 45,000 - 60,000
30+ days ago

Lead Clinical Research Associate

JR United Kingdom

Cheltenham
On-site
GBP 45,000 - 60,000
30+ days ago

Data Scientist

JR United Kingdom

Woking
On-site
GBP 50,000 - 75,000
30+ days ago

Senior Clinical Research Associate

JR United Kingdom

Chester
On-site
GBP 40,000 - 60,000
30+ days ago

Lead Clinical Research Associate

JR United Kingdom

Chelmsford
Remote
GBP 50,000 - 70,000
30+ days ago

Data Scientist

JR United Kingdom

Leeds
On-site
GBP 50,000 - 70,000
30+ days ago

Lead Clinical Research Associate

JR United Kingdom

Wolverhampton
On-site
GBP 60,000 - 80,000
30+ days ago

Lead Clinical Research Associate

JR United Kingdom

Colchester
Remote
GBP 40,000 - 60,000
30+ days ago

Lead Clinical Research Associate

JR United Kingdom

Swindon
On-site
GBP 50,000 - 70,000
30+ days ago

Senior Clinical Research Associate

JR United Kingdom

Watford
On-site
GBP 40,000 - 60,000
30+ days ago

Lead Clinical Research Associate

JR United Kingdom

Maidstone
On-site
GBP 50,000 - 70,000
30+ days ago

Senior Clinical Research Associate

JR United Kingdom

West Midlands Combined Authority
On-site
GBP 40,000 - 60,000
30+ days ago

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Data Scientist
JR United Kingdom
Hemel Hempstead
On-site
GBP 40,000 - 70,000
Full time
30+ days ago

Job summary

A growing player in the ESG space is seeking a Data Scientist to enhance risk models and analytics capabilities. This role involves collaborating with different teams, developing generative AI insights, and building risk models. The ideal candidate will have strong SQL and Python skills with experience in risk analysis, particularly related to finance and supply chains. This position offers a chance to work in a data-driven environment with unique datasets.

Qualifications

  • Strong skills in SQL and Python for data analysis and modelling.
  • Proactive mindset with the ability to operate autonomously.
  • Excellent communication skills for technical and non-technical audiences.
  • Experience in risk analysis, ideally in finance, insurance, or supply chains.
  • Knowledge of UK company law or insolvency risk is a bonus.
  • Experience with PowerBI or similar data visualisation tools.
  • Exposure to LLMs or generative AI for reporting is highly desirable.

Responsibilities

  • Build and implement risk models across companies and construction supply chains.
  • Source and analyse new datasets to drive product innovation and insight.
  • Collaborate with Product, BI and Data Science teams to deliver value to clients.
  • Lead GenAI-driven reporting for the risk product.
  • Communicate complex insights in a clear, commercial way.

Skills

SQL
Python
Communication skills

Tools

PowerBI
Job description

Social network you want to login/join with:

A growing player in the ESG space is looking for a Data Scientist, with experience in the risk space, to shape and deliver analytics capabilities for their risk and ESG-focused product. This is a chance to join a data-led business with an abundance of unique internal datasets and real appetite to explore external sources to enhance its insight-driven platform.

Sitting within a collaborative, cross-functional team, you'll take ownership of building and deploying risk models that span from individual company assessments to broader supply chain evaluations. You’ll also play a key role in developing generative AI capabilities for insight reporting and contribute directly to new product development alongside Product, BI and wider Data Science teams.

Key Responsibilities

  • Build and implement risk models across companies and construction supply chains.
  • Source and analyse new datasets to drive product innovation and insight.
  • Collaborate with Product, BI and Data Science teams to deliver value to clients.
  • Lead GenAI-driven reporting for the risk product.
  • Communicate complex insights in a clear, commercial way.

What We’re Looking For

  • Strong skills in SQL and Python for data analysis and modelling.
  • Proactive mindset with the ability to operate autonomously.
  • Excellent communication skills for technical and non-technical audiences.
  • Experience in risk analysis, ideally in finance, insurance, or supply chains.
  • Knowledge of UK company law or insolvency risk is a bonus.
  • Experience with PowerBI or similar data visualisation tools.
  • Exposure to LLMs or generative AI for reporting is highly desirable.

If this looks like it could be of interest, apply below.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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